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Demand Patterns Across the Development Spectrum: Estimates for the AIDADS System

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  • Maureen T. Rimmer
  • Alan A. Powell

Abstract

This is a companion paper to Impact Preliminary Working Paper No OP-73 in which Rimmer and Powell report on a new implicitly directly additive demand system (AIDADS) which (in Cooper and McLaren's 1992b terminology) is effectively globally regular. In OP-73 AIDADS is fitted to a six-commodity disaggregation of a 35-year Australian time series of consumption. Unlike the linear expenditure system and the Rotterdam model, the new system allows marginal budget shares to vary as a function of income. In the current paper we also work at a six-commodity level, fitting AIDADS to an international cross section of 30 countries in 1975. The data are from the International Comparisons Project of Kravis, Heston and Summers (1982) and previously were analyzed by Theil and Clements (1987) using a combination of additive preferences and Working's (1943) model in differential form. The present results overcome two potential shortcomings of the earlier work by replacing Working's model with a more regular specification of Engel effects and by providing and estimating an explicit functional form in the levels of the variables. A rough comparison can be made between the time-series estimates of OP-73 and the cross-sectional ones reported here. We found the two sets of results broadly consistent (although the rate of decline in Food's marginal budget share was less in the Australian time series than in the international cross section). Overall, the new system performed well empirically. It seems suitable for modelling demand for broad consumption aggregates (say up to about a dozen commodities) in situations in which there may be very large variations in income per head.

Suggested Citation

  • Maureen T. Rimmer & Alan A. Powell, 1992. "Demand Patterns Across the Development Spectrum: Estimates for the AIDADS System," Centre of Policy Studies/IMPACT Centre Working Papers op-75, Victoria University, Centre of Policy Studies/IMPACT Centre.
    • Handle: RePEc:cop:wpaper:op-75
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    References listed on IDEAS

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    1. Hanoch, Giora, 1975. "Production and Demand Models with Direct or Indirect Implicit Additivity," Econometrica, Econometric Society, vol. 43(3), pages 395-419, May.
    2. Cooper, Russel J & McLaren, Keith R, 1996. "A System of Demand Equations Satisfying Effectively Global Regularity Conditions," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 359-364, May.
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    5. K.R. Pearson, 1991. "Solving Nonlinear Economic Models Accurately Via a Linear Representation," Centre of Policy Studies/IMPACT Centre Working Papers ip-55, Victoria University, Centre of Policy Studies/IMPACT Centre.
    6. Maureen T. Rimmer & Alan A. Powell, 1992. "An Implicitly Directly Additive Demand System: Estimates for Australia," Centre of Policy Studies/IMPACT Centre Working Papers op-73, Victoria University, Centre of Policy Studies/IMPACT Centre.
    7. BARTEN, Anton P., 1968. "Estimating demand equations," LIDAM Reprints CORE 21, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Cited by:

    1. Powell, Alan A. & McLaren, Keith R. & Pearson, K.R. & Rimmer, Maureen T., 2002. "Cobb-Douglas Utility - Eventually!," Conference papers 330977, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Preckel, Paul V. & Cranfield, John A.L. & Hertel, Thomas W., 2005. "Implicit Additive Preferences: A Generalization Of The Ces," Staff Papers 28646, Purdue University, Department of Agricultural Economics.
    3. Paul Preckel & Thomas Hertel & John Cranfield, 2005. "Implicit Additive Preferences: A Further Generalization of the CES," Working Papers 05-03, Purdue University, College of Agriculture, Department of Agricultural Economics.
    4. Roberto Roson & Dominique van der Mensbrugghe, 2017. "Demand-Driven Structural Change in Applied General Equilibrium Models," IEFE Working Papers 96, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    5. Bouët, Antoine & Femenia, Fabienne & Laborde, David, 2014. "On the role of demand systems in CGE simulations of trade reforms," Conference papers 332443, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Christophe Gouel & Houssein Guimbard, 2019. "Nutrition Transition and the Structure of Global Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 383-403.
    7. John A.L. Cranfield & Thomas W. Hertel & James S. Eales & Paul V. Preckel, 1998. "Changes in the Structure of Global Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1042-1050.
    8. Wolfgang Britz & Roberto Roson & Martina Sartori, 2019. "SSP Long Run Scenarios for European NUTS2 Regions," Working Papers 2019: 22, Department of Economics, University of Venice "Ca' Foscari".
    9. Yu, Wusheng & Hertel, Thomas W. & Preckel, Paul V. & Eales, James S., 2004. "Projecting world food demand using alternative demand systems," Economic Modelling, Elsevier, vol. 21(1), pages 99-129, January.
    10. Maureen T. Rimmer & Alan A. Powell, 1994. "Engel Flexibility in Household Budget Studies: Non-parametric Evidence versus Standard Functional Forms," Centre of Policy Studies/IMPACT Centre Working Papers op-79, Victoria University, Centre of Policy Studies/IMPACT Centre.
    11. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    12. Hertel, Thomas W. & Preckel, Paul V. & Cranfield, John A.L. & Ivanic, Maros, 2001. "Poverty Impacts Of Multilateral Trade Liberalization," Working papers 28697, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    13. van der Mensbrugghe, Dominique, 2013. "Modeling the Global Economy – Forward-Looking Scenarios for Agriculture," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 933-994, Elsevier.
    14. Christophe Gouel & Houssein Guimbard, 2018. "Nutrition Transition and the Structure of Global Food Demand," Post-Print hal-01820555, HAL.
    15. Wolfgang Britz & Roberto Roson, 2018. "Exploring Long Run Structural Change with a Dynamic General Equilibrium Model," Working Papers 2018: 12, Department of Economics, University of Venice "Ca' Foscari".
    16. Hertel, Thomas W. & Maros Ivanic & Paul Preckel & John Cranfield, 2004. "The Earnings Effects of Multilateral Trade Liberalization: Implications for Poverty in Developing Countries," GTAP Working Papers 1208, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    17. Regmi, Anita & Seale, James L., Jr., 2010. "Cross-Price Elasticities of Demand Across 114 Countries," Technical Bulletins 59870, United States Department of Agriculture, Economic Research Service.
    18. Harrison, W Jill & Pearson, K. R. & Powell, Alan A. & Small, John E., 1994. "Solving Applied General Equilibrium Models Represented as a Mixture of Linearized and Levels Equations," Computational Economics, Springer;Society for Computational Economics, vol. 7(3), pages 203-223.
    19. Hertel, T.W. & Preckel, P.V. & Cranfield, J.A.W. & Ivanic, M., 2002. "The impact of multiliteral agricultural trade liberalization on poverty in Brazil," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 37.
    20. Kenneth W Clements & Yihui Lan & Haiyan Liu & Long Vo, 2022. "The Icp, Ppp And Household Expenditure Patterns," Economics Discussion / Working Papers 22-18, The University of Western Australia, Department of Economics.
    21. Valenzuela, Ernesto & Hertel, Thomas W. & Ivanic, Maros & Pratt, Alejandro Nin, 2004. "Evaluating Poverty Impacts of Globalization and Trade Policy Changes on Agricultural Producers," Conference papers 331307, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    22. Roberto Roson & Dominique van der Mensbrugghe, 2017. "Assessing Long Run Structural Change in Multi-Sector General Equilibrium Models," EcoMod2017 10257, EcoMod.
    23. Wolfgang Britz & Yaghoob Jafari & Alexandr Nekhay & Roberto Roson, 2020. "Modeling Trade and Income Distribution in Six Developing Countries A dynamic general equilibrium analysis up to the year 2050," Working Papers 2020:03, Department of Economics, University of Venice "Ca' Foscari".
    24. Yanrui Wu, 2004. "Understanding International Food Consumption Patterns," Economics Discussion / Working Papers 04-05, The University of Western Australia, Department of Economics.

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    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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